Find out in this report how the two AI Software Development solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We had fewer front-end resources, and while developing with Retool, we did not need many front-end team members, which saved on salaries.
I think we can see time saved to start the proof of concept and maybe money saved because I was able to develop the mobile app alone without needing additional resources.
The customer support is amazing; overall, AWS customer support is very professional and fast.
Technical support team is available, but I haven't needed to contact them.
It's scalable and doesn't experience any slowdown when handling increasing data volumes.
Retool is more suited for startups, but it can get messy at scale.
The deployment can take a couple of hours or a couple of minutes.
Retool is stable in my experience.
If possible, we could sort the logs so we can get the exact error on one page.
Retool needs more customization options, as it should not be limited to a few customization features; it should be broader, with more features available for users to utilize.
AI tools, features, and machine learning capabilities should be added as they would be helpful in the future.
There should be better documentation or support for non-technical users, providing a platform to learn and implement Retool effectively.
The pricing, setup cost, and licensing experience were good as the free plan was enough for us.
The integration part is good. We can use multiple things by integrating with CI/CD pipelines, and this is very feasible for us.
Retool positively impacts our organization by saving costs compared to using other data repositories, and teams prefer Retool for daily tasks that perform customizations to showcase web pages or link their data backend, making it more efficient and cost-effective than other software available in the market.
Retool provides built-in features with all processing happening within the platform, which is a significant advantage.
The best features Retool offers include the ability to quickly create a mobile app and use this mobile app in a native mobile app for Android.
| Product | Mindshare (%) |
|---|---|
| CloudBees | 0.5% |
| Retool | 0.6% |
| Other | 98.9% |
| Company Size | Count |
|---|---|
| Small Business | 1 |
| Midsize Enterprise | 3 |
| Large Enterprise | 18 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
CloudBees provides a highly scalable and secure platform that supports seamless integration and automation across multiple environments. It excels in managing Jenkins instances and offers flexible deployment options, enhancing efficiency for large teams.
CloudBees is recognized for its integration with Jenkins, SonarQube, and Ansible, allowing companies to leverage its robust automation capabilities for continuous integration and deployment. With its strong support for Docker and Kubernetes, teams benefit from streamlined code management and operational efficiency. Its scalable architecture, real-time feedback, and premium vendor support help manage large-scale applications and microservices. Despite its strengths, users report challenges with pipeline setup, service availability, and GUI accessibility, which suggest room for improvement in these areas.
What are the key features of CloudBees?
What benefits should users expect in reviews?
In tech and software industries, companies implement CloudBees for managing complex CI/CD pipelines. Its integration with DevOps tools facilitates automation and workflow optimization. Industries with large teams managing thousands of microservices use CloudBees to maintain high availability, streamline processes, and ensure security compliance, driving efficient production workflows.
Retool enables rapid construction of internal tools with minimal coding, streamlining workflows across HR, customer support, and compliance. Praised for its drag-and-drop interface, extensive component library, and SQL support, it boosts organizational efficiency by automating tasks and enhancing data management.
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